10–20% AI Visibility Drift Identified – Send to CMO or CFO? (www.aivojournal.org)

AIVO Standard warns that up to 10–20% AI visibility drift is occurring across brands — one in five tracked firms saw measurable loss of presence in AI assistants last quarter despite unchanged marketing spend. Because AI systems now mediate roughly a third of consumer and B2B queries, this is framed not as campaign noise but as a data-integrity failure that silently alters brand reach, relevance and revenue exposure. Recent audits of 5,000 prompts across travel, consumer goods and fintech show average drifts of 18%, 14% and 11% respectively, translating (on a $1B digital-revenue baseline) into monthly Revenue‑at‑Risk (RaR™) estimates of $24.5M, $17.2M and $9.8M. Importantly, 72% of drift events were reproducible within a ±5% tolerance; the rest triggered deeper review. To address this, AIVO launched the Data Integrity & Verification Methodology (DIVM), an audit-grade protocol aligned with ISAE 3000 and SOX 404 and anticipatory of ISO/IEC 42001 and the EU AI Act. DIVM enforces three layers: cryptographically anchored Data Provenance logs that record every prompt-output pair, a Reproducibility Layer with a ±5% drift threshold and escalation rules, and a Revenue Attribution Layer that converts Prompt‑Space Occupancy Score (PSOS™) changes into RaR™ using conversion-sensitivity metrics. Verified datasets receive an AIVO Reproducibility Certificate for board and CFO disclosure. The implication: AI visibility is now a cross-functional, financially material control that CMOs and CFOs must jointly govern — boards are urged to mandate DIVM audits before the next earnings cycle.